T234 Geologic Energy Research (Posters)

Tuesday, 27 September 2016
9:00 AM - 6:30 PM
Exhibit Hall E/F

WELL LOG FACIES CLASSIFICATION FOR IMPROVED GEOLOGICAL MODELING AND SEISMIC DATA INTERPRETATION

Paper number: T234-2
Program: Technical Sessions
Time: 9:00 AM – 6:30 PM

Authors

Abstract

Knowledge of the vertical extent of the reservoir and its zonation is of great importance in hydrocarbon exploration and underground carbon sequestration projects. Fundamental properties of reservoir and confining rocks are usually understood by their detailed description in the field (lithofacies analysis) and laboratory (petrofacies analysis). However, in most subsurface studies, the facies (lithofacies and petrofacies) determination is impractical, due to lack of cores and cuttings. In situations where wireline logs are the only sufficient data available, the logfacies or electrofacies are determined instead. Reliably predicting lithological and depositional facies is an essential component of reservoir characterization and geological modeling. In this study we show how statistical rock physics techniques combined with seismic information can be used to classify reservoir and sealing lithologies. One of the innovations was to use logfacies profile (obtained from interactive cluster analysis of wireline log data) in seismic data interpretation. The methods were applied to a study area on the Rock Springs Uplift (RSU) in southwest Wyoming, a potential long-term CO2 sequestration site. Initial investigations at this site focused on the Weber Sandstone and the Madison Limestone as potential reservoirs, and the overlying Triassic Chugwater Group and Dinwoody Formations as the major sealing strata (Surdam, 2013, Springer). We integrated well log measurements from the RSU #1 stratigraphic test well with numerous core samples that resulted in subdivision of the targeted formations into six petrofacies classes based on their composition and texture. Interactive cluster analysis of well logs was used to verify this classification and to build a continuous logfacies profile. This profile clearly illustrates lithological heterogeneity and is better constrained than facies models derived from conventional petrographic examination of cores.

Geological Society of America Abstracts with Programs. Vol. 48, No. 7

doi: 10.1130/abs/2016AM-285659

© Copyright 2016 The Geological Society of America (GSA), all rights reserved. Permission is hereby granted to the author(s) of this abstract to reproduce and distribute it freely, for noncommercial purposes. Permission is hereby granted to any individual scientist to download a single copy of this electronic file and reproduce up to 20 paper copies for noncommercial purposes advancing science and education, including classroom use, providing all reproductions include the complete content shown here, including the author information. All other forms of reproduction and/or transmittal are prohibited without written permission from GSA Copyright Permissions.